A latent class analysis of cannabis use products in a general population sample of adolescents and their association with paranoia, hallucinations, cognitive disorganisation and grandiosity

2021 ◽  
Vol 117 ◽  
pp. 106837
Author(s):  
Clare J. Mackie ◽  
Jack Wilson ◽  
Tom P. Freeman ◽  
Sam Craft ◽  
Thalia Escamilla De La Torre ◽  
...  
Keyword(s):  
General Population ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Population Sample ◽  
Cannabis Use ◽  
Class Analysis ◽  
General Population Sample

scholarly journals Occurence of Internet Addiction in a General Population Sample: A Latent Class Analysis

2013 ◽  
Vol 20 (4) ◽  
pp. 159-166 ◽  
Author(s):  
Hans-Jürgen Rumpf ◽  
Ad A. Vermulst ◽  
Anja Bischof ◽  
Nadin Kastirke ◽  
Diana Gürtler ◽  
...  
Keyword(s):  
General Population ◽  
Latent Class Analysis ◽  
Internet Addiction ◽  
Latent Class ◽  
Population Sample ◽  
Class Analysis ◽  
General Population Sample

scholarly journals Clustering of eating disorder symptoms in a general population female twin sample: a latent class analysis

2007 ◽  
Vol 37 (8) ◽  
pp. 1097-1107 ◽  
Author(s):  
ALEXIS E. DUNCAN ◽  
KATHLEEN KEENAN BUCHOLZ ◽  
ROSALIND J. NEUMAN ◽  
ARPANA AGRAWAL ◽  
PAMELA A. F. MADDEN ◽  
...  
Keyword(s):  
Eating Disorder ◽  
Weight Gain ◽  
General Population ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Population Sample ◽  
Optimal Solution ◽  
Class Analysis ◽  
Low Weight ◽  
Dsm Iv

ABSTRACTBackgroundPrevious studies have reported that the current DSM-IV eating disorder (ED) criteria do not adequately describe ED symptomatology. The objective of the current study was to examine the clustering of ED symptoms in a general population sample using latent class analysis (LCA).MethodED symptoms from 3723 female young adult twins (mean age 22) were analyzed using LCA, and resulting classes were compared on external validators reflecting ED and other co-morbid psychiatric diagnoses, substance use disorders (SUDs), and suicidality.ResultsThe optimal solution consisted of five latent classes characterized as: (1) Unaffected; (2) Low Weight Gain; (3) Weight Concerned; (4) Dieters; and (5) ED. Members of the ED class had significantly higher prevalence of co-morbid psychiatric disorders, SUDs, and suicidality than the Unaffected and Low Weight Gain classes, and elevated rates of suicidality and major depression compared to the Weight Concerned and Dieter classes, which differed from each other primarily in terms of current body mass index (BMI). Dieter class members were more likely to be overweight and obese and less likely to be underweight than Weight Concerned class members. The majority of women with an ED diagnosis were assigned to the ED class, and few differences were found between ED class members with and without an ED diagnosis.ConclusionsThe results add to the evidence that many women with significant ED psychopathology are not being identified by the DSM-IV ED categories.

Empirical derived AUD sub types in the US general population: A latent class analysis

2013 ◽  
Vol 38 (11) ◽  
pp. 2782-2786 ◽  
Author(s):  
Martina Casey ◽  
Gary Adamson ◽  
Maurice Stringer
Keyword(s):  
General Population ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Class Analysis ◽  
The Us

Latent class analysis of the Apathy Scale does not identify subtypes of apathy in general population-based older persons

2016 ◽  
Vol 31 (9) ◽  
pp. 1021-1028 ◽  
Author(s):  
Isis Groeneweg-Koolhoven ◽  
Lotte J. Huitema ◽  
Margot W. M. de Waal ◽  
Max L. Stek ◽  
Jacobijn Gussekloo ◽  
...  
Keyword(s):  
General Population ◽  
Latent Class Analysis ◽  
Older Persons ◽  
Latent Class ◽  
Population Based ◽  
Class Analysis

Latent Class Analysis of ADHD and Comorbid Symptoms in a Population Sample of Adolescent Female Twins

2001 ◽  
Vol 42 (7) ◽  
pp. 933-942 ◽  
Author(s):  
Rosalind J. Neuman ◽  
Andrew Heath ◽  
Wendy Reich ◽  
Kathleen K. Bucholz ◽  
Pamela A. F. Madden ◽  
...  
Keyword(s):  
Latent Class Analysis ◽  
Latent Class ◽  
Population Sample ◽  
Adolescent Female ◽  
Class Analysis

scholarly journals Latent Structure of Combined Autistic and ADHD Symptoms in Clinical and General Population Samples: A Scoping Review

2021 ◽  
Vol 12 ◽  
Author(s):  
Aneta D. Krakowski ◽  
Peter Szatmari ◽  
Jennifer Crosbie ◽  
Russell Schachar ◽  
Eric Duku ◽  
...  
Keyword(s):  
Factor Analysis ◽  
General Population ◽  
Scoping Review ◽  
Latent Class ◽  
Population Sample ◽  
Autism Spectrum ◽  
General Population Sample ◽  
Adhd Symptoms ◽  
Inclusion Criteria ◽  
Hyperactivity Disorder

Background: Many phenotypic studies have estimated the degree of comorbidity between Autism Spectrum Disorder (ASD) and Attention Deficit Hyperactivity Disorder (ADHD), but few have examined the latent, or unobserved, structure of combined ASD and ADHD symptoms. This is an important perquisite toward better understanding the overlap between ASD and ADHD.Methods: We conducted a scoping review of studies that examined the factor or latent class structure of ASD and ADHD symptoms within the same clinical or general population sample.Results: Eight studies met final inclusion criteria. Four factor analysis studies found that ASD and ADHD domains loaded separately and one found that some ASD and ADHD domains loaded together. In the three latent class studies, there were evidence of profiles with high levels of co-occurring ASD and ADHD symptoms.Conclusions: Our scoping review provides some evidence of phenotypic overlap between ASD and ADHD at the latent, or unobserved, level, particularly when using a “person-centered” (latent class analysis) vs. a “variable-centered” (factor analysis) approach.

scholarly journals Characterizing motivations for cannabis use in a cohort of people who use illicit drugs: A latent class analysis

PLoS ONE ◽  
2020 ◽  
Vol 15 (5) ◽  
pp. e0233463 ◽  
Author(s):  
Stephanie Lake ◽  
Ekaterina Nosova ◽  
Jane Buxton ◽  
Zach Walsh ◽  
M. Eugenia Socías ◽  
...  
Keyword(s):  
Latent Class Analysis ◽  
Illicit Drugs ◽  
Latent Class ◽  
Cannabis Use ◽  
Class Analysis

scholarly journals Characterising heterogeneity in the use of different cannabis products: latent class analysis with 55 000 people who use cannabis and associations with severity of cannabis dependence

2019 ◽  
Vol 50 (14) ◽  
pp. 2364-2373 ◽  
Author(s):  
Sam Craft ◽  
Adam Winstock ◽  
Jason Ferris ◽  
Clare Mackie ◽  
Michael T. Lynskey ◽  
...  
Keyword(s):  
Mental Health ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Mental Health Disorder ◽  
Cannabis Use ◽  
Class Analysis ◽  
Cannabis Dependence ◽  
Patterns Of Use ◽  
Dependence Scale ◽  
Administration Methods

AbstractBackgroundAs new cannabis products and administration methods proliferate, patterns of use are becoming increasingly heterogeneous. However, few studies have explored different profiles of cannabis use and their association with problematic use.MethodsLatent class analysis (LCA) was used to identify subgroups of past-year cannabis users endorsing distinct patterns of use from a large international sample (n = 55 240). Past-12-months use of six different cannabis types (sinsemilla, herbal, hashish, concentrates, kief, edibles) were used as latent class indicators. Participants also reported the frequency and amount of cannabis used, whether they had ever received a mental health disorder diagnosis and their cannabis dependence severity via the Severity of Dependence Scale (SDS).ResultsLCA identified seven distinct classes of cannabis use, characterised by high probabilities of using: sinsemilla & herbal (30.3% of the sample); sinsemilla, herbal & hashish (20.4%); herbal (18.4%); hashish & herbal (18.8%); all types (5.7%); edibles & herbal (4.6%) and concentrates & sinsemilla (1.7%). Relative to the herbal class, classes characterised by sinsemilla and/or hashish use had increased dependence severity. By contrast, the classes characterised by concentrates use did not show strong associations with cannabis dependence but reported greater rates of ever receiving a mental health disorder diagnosis.ConclusionsThe identification of these distinct classes underscores heterogeneity among cannabis use behaviours and provides novel insight into their different associations with addiction and mental health.

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